{"id":"https://openalex.org/W4406355756","doi":"https://doi.org/10.1109/wcsp62071.2024.10826931","title":"Distributed Deep Convolutional Network: A Generalized SVD Perspective","display_name":"Distributed Deep Convolutional Network: A Generalized SVD Perspective","publication_year":2024,"publication_date":"2024-10-24","ids":{"openalex":"https://openalex.org/W4406355756","doi":"https://doi.org/10.1109/wcsp62071.2024.10826931"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp62071.2024.10826931","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp62071.2024.10826931","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 16th International Conference on Wireless Communications and Signal Processing (WCSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069144085","display_name":"Yi Ding","orcid":"https://orcid.org/0000-0002-0010-8279"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Ding","raw_affiliation_strings":["College of Electronic Engineering, National University of Defense Technology,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic Engineering, National University of Defense Technology,Hefei,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063149968","display_name":"Junpeng Shi","orcid":"https://orcid.org/0000-0002-9910-0663"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junpeng Shi","raw_affiliation_strings":["College of Electronic Engineering, National University of Defense Technology,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic Engineering, National University of Defense Technology,Hefei,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047162500","display_name":"Shuyun Shi","orcid":"https://orcid.org/0000-0001-6460-8742"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuyun Shi","raw_affiliation_strings":["College of Electronic Engineering, National University of Defense Technology,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic Engineering, National University of Defense Technology,Hefei,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111189486","display_name":"Jialong Qian","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialong Qian","raw_affiliation_strings":["College of Electronic Engineering, National University of Defense Technology,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic Engineering, National University of Defense Technology,Hefei,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041234141","display_name":"Qinxian Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinxian Chen","raw_affiliation_strings":["College of Electronic Engineering, National University of Defense Technology,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic Engineering, National University of Defense Technology,Hefei,China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"42","last_page":"47"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.8507999777793884,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.8507999777793884,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.7540000081062317,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7156068086624146},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5745940804481506},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.5163896679878235},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5015347003936768},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4286731481552124}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7156068086624146},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5745940804481506},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.5163896679878235},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5015347003936768},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4286731481552124}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcsp62071.2024.10826931","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp62071.2024.10826931","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 16th International Conference on Wireless Communications and Signal Processing (WCSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1977271127","https://openalex.org/W1985852691","https://openalex.org/W1994906459","https://openalex.org/W1996546282","https://openalex.org/W2056370875","https://openalex.org/W2072072671","https://openalex.org/W2099388546","https://openalex.org/W2121927366","https://openalex.org/W2266694576","https://openalex.org/W2489519930","https://openalex.org/W2508457857","https://openalex.org/W2741137940","https://openalex.org/W2764207251","https://openalex.org/W2777802649","https://openalex.org/W2948487516","https://openalex.org/W2971719842","https://openalex.org/W3001319253","https://openalex.org/W3014516197","https://openalex.org/W3047011367","https://openalex.org/W3121527341","https://openalex.org/W3132191748","https://openalex.org/W4225672218","https://openalex.org/W4285139986","https://openalex.org/W4306763059","https://openalex.org/W4317751798","https://openalex.org/W4372271862","https://openalex.org/W4391097565"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W3121932492","https://openalex.org/W4232638561","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W1997544008"],"abstract_inverted_index":{"With":[0],"the":[1,45,54,73,77,91,111],"rapid":[2],"advancement":[3],"of":[4,47,58,93,105,113],"distributed":[5],"systems":[6],"technology,":[7],"deep":[8],"learning-based":[9],"methods":[10],"have":[11],"become":[12],"a":[13,24,102],"common":[14,74],"scheme":[15],"to":[16,60],"implement":[17],"multiple":[18,94],"data":[19,62,95],"processing.":[20],"This":[21],"paper":[22],"presents":[23],"novel":[25],"multi-channel":[26],"encoder-decoder":[27],"architecture":[28],"(called":[29],"as":[30],"D<sup":[31,114],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[32,115],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>CN),":[33],"which":[34,98],"is":[35,80,99],"explained":[36],"by":[37,64,82],"integrating":[38],"generalized":[39],"singular":[40],"value":[41],"decomposition":[42],"(GSVD)":[43],"with":[44],"principles":[46],"Hankel":[48],"convolution":[49],"framelet.":[50],"Specifically,":[51],"we":[52,109],"employ":[53],"feature":[55],"extraction":[56],"capability":[57],"GSVD":[59],"perform":[61],"interactions":[63,92],"forward/backward":[65],"propagation,":[66,97],"where":[67],"numerous":[68],"inputs":[69],"are":[70],"designed":[71],"using":[72],"bases":[75],"and":[76],"reliable":[78],"performance":[79],"achieved":[81],"training":[83],"shared":[84],"right":[85],"bases.":[86],"The":[87],"network":[88],"intuitively":[89],"shows":[90],"in":[96],"suitable":[100],"for":[101],"wide":[103],"range":[104],"inverse":[106,126],"problems.":[107],"Finally,":[108],"demonstrate":[110],"superiority":[112],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>CN":[116],"over":[117],"other":[118],"fundamental":[119],"networks":[120],"through":[121],"numerical":[122],"experiments":[123],"conducted":[124],"on":[125],"problem":[127],"tasks.":[128]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
